| 摘要 |
In a multiprocessor system it is generally assumed that peak or near peak performance will be achieved by splitting computation across all the nodes of the system. There exists a broad spectrum of techniques for performing this splitting or parallelization, ranging from careful handcrafting by an expert programmer at the one end, to automatic parallelization by a sophisticated compiler at the other. This latter approach is becoming more prevalent as the automatic parallelization techniques mature. In a multiprocessor system comprising multiple heterogeneous processing elements these techniques are not readily applicable, and the programming complexity again becomes a very significant factor. The present invention provides for a method for computer program code parallelization and partitioning for such a heterogeneous multi-processor system. A Single Source file, targeting a generic multiprocessing environment is received. Parallelization analysis techniques are applied to the received single source file. Parallelizable regions of the single source file are identified based on applied parallelization analysis techniques. The data reference patterns, code characteristics and memory transfer requirements are analyzed to generate an optimum partition of the program. The partitioned regions are compiled to the appropriate instruction set architecture and a single bound executable is produced.
|
